Abstract
This paper introduces a fast artifact recovery algorithm (FARA) that uses electrochemical impedance spectroscopy to model the electrode-tissue interface and design an optimum stimulation waveform to minimize the residual artifact duration in single-cell resolution neural interfaces. Results in saline solution with a custom PCB and a 30 $\mu \mathrm{m}$ diameter microelectrode array show a worst case artifact recovery time of 160 $\mu \mathrm{s}$ when measured from the end of the working phase (anodic 500 $\mathrm{n}\mathrm{A}, 250\mu \mathrm{s})$. On average, the proposed algorithm provides an 81% improvement over a triphasic charge-balanced stimulation waveform.
Original language | English |
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Title of host publication | Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS) |
Place of Publication | Danvers |
Publisher | IEEE |
Pages | 190-194 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-6654-8485-5 |
ISBN (Print) | 978-1-6654-8486-2 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE International Symposium on Circuits and Systems (ISCAS) - Austin, United States Duration: 27 May 2022 → 1 Jun 2022 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2022-May |
ISSN (Print) | 0271-4310 |
Conference
Conference | 2022 IEEE International Symposium on Circuits and Systems (ISCAS) |
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Country/Territory | United States |
City | Austin |
Period | 27/05/22 → 1/06/22 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.